Вакансия Senior GenAI Engineer

Skills

• Generative AI
• Python
• R
• TensorFlow
• PyTorch
• NLP
• BERT
• GPT
• Azure
• AWS
• Docker
• Kubernetes
• Git

Описание вакансии

We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.

To qualify for the role, you must have

• Minimum 4 years of experience in Data Science and Machine Learning.
• In-depth knowledge of machine learning, deep learning, and generative AI techniques.
• Knowledge and experience in Generative AI.
• Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
• Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
• Familiarity with computer vision techniques for image recognition, object detection, or image generation.
• Experience with cloud platforms such as Azure or AWS.
• Expertise in data engineering, including data curation, cleaning, and preprocessing.
• Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
• Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
• Track record of driving innovation and staying updated with the latest AI research and advancements.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Ideally, you’ll also have

• Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems
• Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI
• Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines
• Implement monitoring and logging tools to ensure AI model performance and reliability
• Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
• Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.